Course Content
KM-01: Introduction to RPA and Digital Transformation
This module introduces learners to the fundamentals of Robotic Process Automation (RPA), digital transformation, and automation technologies used in modern business environments. Learners will explore how businesses use automation to improve efficiency, reduce repetitive tasks, and support digital innovation.
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KM-04: Computing Theory
This module introduces learners to the foundational principles of programming and computing theory used in software development and automation environments. Learners will explore programming languages, programming logic, algorithms, variables, operators, loops, functions, and software applications commonly used in modern computing systems. The module also introduces concepts related to web technologies, databases, artificial intelligence, and software development methodologies.
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KM-05: Data, Databases and Data Scraping
This module introduces learners to the principles of data management, databases, and data scraping used in modern digital and automation environments. Learners will explore how organisations collect, store, analyse, secure, and visualise data to support business processes and decision-making. The module also introduces structured query language (SQL), relational databases, web scraping techniques, and software tools used for analysing and visualising data in automation and RPA environments.
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KM-06: Introduction to RPA for Automation of Processes
This module introduces learners to the foundational concepts, technologies, and processes involved in Robotic Process Automation (RPA). Learners will explore automation principles, business process analysis, workflow automation, process mapping, bots, attended and unattended automation, and the role of RPA in improving operational efficiency. The module also examines how organisations identify processes suitable for automation and how RPA supports digital transformation initiatives.
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KM-07: Robotic Process Automation (RPA)
This module focuses on building an understanding of how to use a toolkit or platform, using a vendor-specific approach, for the creation and deployment of automated processes. Learners will explore variables, arguments, automation selectors, control flow, data manipulation, automation concepts, automation management, and methods used to secure the RPA ecosystem from security risks. The module develops practical knowledge required to build, manage, and support automation solutions within modern RPA environments.
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KM-08: Introduction to RPA Governance, Legislation and Ethics
This module introduces learners to governance, legislation, compliance, ethics, and responsible practices within Robotic Process Automation (RPA) environments. Learners will explore legal requirements, organisational governance, ethical considerations, compliance frameworks, privacy protection, intellectual property, accountability, and professional conduct related to automation technologies. The module also examines how organisations manage risk, maintain compliance, and ensure ethical use of RPA systems within modern digital business environments.
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KM-09: Fundamentals of Design Thinking and Innovation
This module introduces learners to the fundamentals of design thinking and innovation within modern business and technology environments. Learners will explore design thinking principles, human-centered design, creativity, innovation, design concepts, design thinking methodologies, and the practical application of design thinking in software development, cybersecurity, and business problem-solving. The module focuses on developing innovative thinking, problem-solving skills, and creative approaches used in modern workplaces and digital transformation environments.
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KM-10: 4IR and Future Skills
This module focuses on building an understanding of the impact of the Fourth Industrial Revolution (4IR) on communities, individuals, and businesses, as well as the future skills required in modern digital environments. Learners will explore emerging 4IR technologies, computing knowledge, future skills and competencies, business trends, interpersonal and intrapersonal skills, communication methods, workplace teamwork, customer service, and professional workplace practices required within modern organisations and Robotic Process Automation (RPA) environments.
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PM-01: Basic Calculations for Programming
This practical module introduces learners to the mathematical and computational concepts required in programming and automation environments. Learners will develop practical skills in number systems, measurement conversions, mathematical operations, scientific notation, logical calculations, and computational problem solving. The module focuses on applying calculations and numerical reasoning in software development and Robotic Process Automation (RPA) environments. Learners will complete practical activities that strengthen analytical thinking, accuracy, and computational problem-solving skills required in modern digital workplaces.
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PM-02: Basic Programming
This practical module introduces learners to fundamental programming concepts, software toolkits, coding environments, programming paradigms, data types, APIs, functions, logical operations, loops, SQL queries, error handling, and software development processes used in Robotic Process Automation (RPA) environments. Learners will develop practical programming skills by creating coding environments, writing and testing code, working with variables and functions, integrating APIs, handling errors, and developing simple automation solutions using industry-relevant software toolkits and platforms.
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PM-03: Access, Analyse and Visualise Structured Data Using Spreadsheets and Scraping Tools
This practical module focuses on developing the skills required to access, analyse, organise, transform, visualise, and report structured data using spreadsheets, dashboards, pivot tables, databases, and web scraping tools within a Robotic Process Automation (RPA) environment. Learners will work with spreadsheet reporting, dashboards, pivot tables, SQL imports, data models, charts, and web scraping techniques to process and visualise data for business decision-making.
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PM-05: Execute Test Procedures for Evaluating the RPA Solution Performance
This practical module focuses on developing the practical skills required to prepare, execute, evaluate, and improve test procedures for Robotic Process Automation (RPA) solutions. Learners will work with test cases, testing methodologies, simulation tools, workflow evaluations, exception handling, and remedial actions to determine whether an RPA solution passes or fails according to business and technical requirements. Learners will also develop the ability to analyse automation outcomes, identify application and workflow issues, document test evidence, and apply corrective actions to improve automation reliability and performance.
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PM-06: Deploy RPA Solutions Which Emulate Actions of a Human Interacting Within Digital Systems
This practical module focuses on developing the practical skills required to deploy, schedule, monitor, manage, and maintain Robotic Process Automation (RPA) solutions within production environments. Learners will work with unattended and attended robots, deployment procedures, process documentation, auditing dashboards, scheduling systems, and RPA environment management tools. Learners will also develop the ability to schedule automated workflows, deploy bots into production environments, update process documentation, train end-users, monitor runtime activities, and import or export automation solutions between environments.
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PM-07: Modify and Improve Existing RPA Solutions
This practical module focuses on developing the practical skills required to troubleshoot, improve, maintain, and optimise existing Robotic Process Automation (RPA) solutions within operational environments. Learners will work with debugging tools, workflow optimisation techniques, infrastructure changes, software upgrades, regulatory requirements, and process improvement strategies to ensure that automation workflows continue to operate efficiently and reliably. Learners will also develop the ability to investigate alternative solutions, apply continuous improvement techniques, manage changes in technical environments, explore workflow scalability, and update robotic workflows when organisations upgrade RPA software versions.
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PM-08: Function Ethically and Effectively as a Member of a Multidisciplinary Team
This practical module focuses on developing the practical skills required to function ethically, professionally, and collaboratively within multidisciplinary Robotic Process Automation (RPA) environments. Learners will work with business analysts, solution architects, DevOps teams, infrastructure engineers, project managers, business users, and stakeholders throughout the automation life cycle. Learners will also develop the ability to communicate effectively, collaborate across departments, support business process automation initiatives, engage with stakeholders ethically, adapt to organisational policies and infrastructure changes, and contribute to teamwork and business optimisation activities.
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PM-09: Apply Design Thinking Methodologies
This practical module focuses on developing the practical skills required to apply Design Thinking methodologies within problem-solving and innovation environments. Learners will collaborate with multidisciplinary teams to investigate problems, generate innovative ideas, develop prototypes, and test solutions using the Design Thinking process. Learners will also develop the ability to engage in collaborative discussions, participate in innovation workshops, analyse user needs, challenge assumptions, generate creative solutions, and apply the five Design Thinking phases: Empathize, Define, Ideate, Prototype, and Test.
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Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Overview

This lesson introduces learners to business processes, process analysis, and process modelling within automation and RPA environments. Learners will explore how organisations analyse workflows, identify automation opportunities, document processes, and model business activities before implementing automation solutions. The lesson also examines process mapping techniques, process improvement principles, and the importance of accurate business analysis in automation projects.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Define business processes and explain their importance
  • Explain process analysis and process modelling concepts
  • Identify business processes suitable for automation
  • Describe process mapping and workflow documentation techniques
  • Explain process improvement and optimisation principles
  • Describe the role of business analysis in RPA implementation
  • Explain the importance of accurate process documentation

KT0201: Business Processes

A business process is a structured sequence of activities performed to achieve a specific organisational objective.

Business processes exist in every organisation and help ensure that tasks are completed consistently and efficiently.

Examples of business processes include:

  • Customer onboarding
  • Invoice processing
  • Payroll processing
  • Inventory management
  • Claims processing
  • Employee recruitment

Business processes may involve:

  • Employees
  • Software systems
  • Documents
  • Data
  • Rules
  • Decision-making steps

Well-designed business processes improve:

  • Productivity
  • Consistency
  • Accuracy
  • Customer service
  • Operational efficiency

In automation environments, organisations analyse business processes carefully to determine whether automation can improve performance.


KT0202: Business Process Analysis

Business process analysis involves examining how a process currently operates in order to identify inefficiencies, bottlenecks, risks, and opportunities for improvement.

The purpose of process analysis is to understand:

  • How the process works
  • Who performs the tasks
  • What systems are involved
  • What inputs and outputs exist
  • Where delays or errors occur
  • Whether the process is suitable for automation

Business process analysis helps organisations improve workflows before automation is implemented.

Steps in Business Process Analysis

Step 1: Identify the Process

The organisation identifies the process that needs to be analysed.

Step 2: Gather Information

Information is collected through:

  • Interviews
  • Observations
  • Existing documentation
  • System reviews
  • Workflow analysis

Step 3: Analyse the Workflow

The workflow is reviewed to identify:

  • Repetitive tasks
  • Manual activities
  • Delays
  • Errors
  • Dependencies

Step 4: Identify Improvement Opportunities

Possible improvements may include:

  • Automation
  • Simplification
  • Removal of unnecessary steps
  • Improved data flow
  • Better system integration

Step 5: Document Findings

The results of the analysis are documented clearly for stakeholders and developers.

Accurate analysis is important because poor process understanding may result in failed automation projects.


KT0203: Processes Suitable for Automation

Not every process should be automated.

Processes most suitable for RPA are generally:

  • Repetitive
  • Rule-based
  • High-volume
  • Time-consuming
  • Stable
  • Digital
  • Prone to human error

Examples of automation-friendly processes include:

Process Reason Suitable for Automation
Invoice Processing Repetitive data handling
Data Entry Rule-based input
Report Generation Repeated scheduled activity
Payroll Processing Structured calculations
Email Notifications Standardised actions

Processes that require:

  • Creativity
  • Emotional intelligence
  • Human judgement
  • Complex interpretation

may still require human involvement.

Organisations assess process suitability before developing automation solutions.


KT0204: Process Mapping

Process mapping is the activity of visually representing a business process.

Process maps help organisations understand:

  • Process flow
  • Activities
  • Decisions
  • Inputs and outputs
  • System interactions

Common process mapping tools include:

  • Flowcharts
  • Swimlane diagrams
  • Workflow diagrams
  • Business process maps

Benefits of Process Mapping

Process mapping helps organisations to:

  • Identify inefficiencies
  • Understand dependencies
  • Improve communication
  • Standardise processes
  • Support automation planning

Example of a simple workflow:

  1. Customer submits application
  2. Employee reviews application
  3. System validates information
  4. Approval decision is made
  5. Customer receives response

Clear process maps are important because automation developers rely on them to design workflows correctly.


KT0205: Workflow Documentation

Workflow documentation records the details of how a business process operates.

Documentation may include:

  • Process descriptions
  • Business rules
  • Inputs and outputs
  • Screenshots
  • System interactions
  • Exceptions
  • Decision points

Good documentation should be:

  • Accurate
  • Clear
  • Structured
  • Up to date

Workflow documentation is important because it helps:

  • Developers understand processes
  • Stakeholders review workflows
  • Teams maintain consistency
  • Automation projects reduce errors

In RPA projects, documentation often forms part of the Process Design Document (PDD).


KT0206: Process Modelling

Process modelling is the activity of creating visual or structured representations of business workflows.

Process models help organisations understand how tasks move through systems and departments.

Process models may show:

  • Activities
  • Decisions
  • Inputs
  • Outputs
  • Data flow
  • User interactions
  • System interactions

Common Modelling Techniques

Technique Purpose
Flowcharts Show process steps
BPMN Business Process Model and Notation
Swimlane Diagrams Show responsibilities
Workflow Diagrams Represent task flow

Process modelling supports:

  • Automation planning
  • Process improvement
  • System integration
  • Business analysis

Good process models help automation developers design reliable workflows.


KT0207: Process Improvement and Optimisation

Process improvement involves changing workflows to improve efficiency, accuracy, quality, or performance.

Optimisation focuses on making processes more effective and reducing unnecessary activities.

Common process improvement goals include:

  • Reducing delays
  • Improving accuracy
  • Removing duplication
  • Reducing manual effort
  • Improving customer service
  • Increasing productivity

Automation is often part of broader process optimisation initiatives.

Before automating a process, organisations should first improve inefficient workflows rather than automating poor processes directly.


KT0208: Business Analysis in RPA Environments

Business analysis plays an important role in automation projects.

Business analysts help organisations understand:

  • Business requirements
  • Process workflows
  • System interactions
  • Risks
  • Automation opportunities

Business analysts may:

  • Interview stakeholders
  • Gather requirements
  • Analyse workflows
  • Create documentation
  • Support testing
  • Validate automation outcomes

Good business analysis improves communication between business teams and developers.

Accurate business analysis reduces automation risks and improves project success rates.


KT0209: Importance of Accurate Process Documentation

Accurate process documentation is essential in automation environments because bots follow instructions exactly as documented.

Poor documentation may result in:

  • Automation errors
  • Process failures
  • Incorrect outputs
  • Delays
  • Increased maintenance costs

Accurate documentation helps ensure that:

  • Processes are understood clearly
  • Automation follows business rules correctly
  • Testing is effective
  • Future updates are easier

Documentation also supports:

  • Auditing
  • Compliance
  • Knowledge sharing
  • Maintenance

In RPA projects, accurate process documentation is one of the most important factors for successful implementation.


Key Notes

  • Business processes are structured activities used to achieve organisational goals.
  • Process analysis identifies inefficiencies and automation opportunities.
  • Suitable automation processes are repetitive, rule-based, and high-volume.
  • Process mapping visually represents workflows and activities.
  • Workflow documentation records business rules, activities, and system interactions.
  • Process modelling helps organisations understand and improve workflows.
  • Process improvement focuses on increasing efficiency and reducing waste.
  • Business analysts support automation projects through requirements gathering and workflow analysis.
  • Accurate documentation is critical for successful automation implementation.
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